Apply Multi-Layer Perceptrons Neural Network for Off-Line Signature Verification and Recognition

This paper discusses the applying of Multi-layer perceptrons for signature verification and recognition using a new approach enables the user to recognize whether a signature is original or a fraud. The approach starts by scanning images into the computer, then modifying their quality through image enhancement and noise reduction, followed by feature extraction and neural network training, and finally verifies the authenticity of the signature. The paper discusses the different stages of the process including: image pre-processing, feature extraction and pattern recognition through neural networks.

Provided by: International Journal of Computer Science Issues Topic: Security Date Added: Nov 2011 Format: PDF

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